SwathXtend (version 1.0.0)

mlrrep: Function to do mlr normalizatiopn on a matrix of replicates

Description

Calculate all pairwise ratios, log-transform them, find the least variable replicate.

Usage

mlrrep(mat)

Arguments

mat

Data matrix with replicates as columns

Value

mat.norm

Normalized data matrix; matrix assumed positive

wdmat

Square matrix of half peak widths for each ratio of replicates of size ncol(mat)

nfmat

Square matrix of normalization factors for each ratio of replicates of size ncol(mat)

idx

Index of replicate to be used as denominator yielding smallest widths

Details

References

See Also

mlr, mlrGroup

Examples

# Example using the iris data
mlrrep(iris[,-5])

# random data
mat = exp(matrix(rnorm(1000),ncol=4))
res = mlrrep(mat) 
layout(matrix(1:2, nrow=1))
boxplot(log(res$mat.norm))
boxplot(log(mat))